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* Initial solution
* Solve review comments
* Add PythonSelectionModelHandler to reduce code duplication
* Refactor universe selection models
* Add python instance to Selection Models with virtual/override methods
* Add python instance to Alpha Models
* Add python instance to Execution models
* Solve review comments
* Solve new review comments
* Fix calling SetPythonInstance only when method exists and is callable
* Use unit test instead of regression algorithms
* Solve review comments
* Set python instance to the models
* Initialize Python containers only when instance is set
* Replace try-catch with explicit method existence check
* Initialize containers in BasePythonWrapper only when needed
* Add null instance check before method invocation
* Refactor TryExecuteMethod
* Refactor Python wrappers which inherit from BasePythonWrapper<>
* Solve review comments
* Remove ununsed methods
* Solve review comments
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* Changed default async to true and passed target.Tag
* Make execution models place orders asynchronously if specified
* Add unit tests
* Execution model default to asynchronous orders.
Also, minor fixes for tickets remaining fill quantity potential race conditions
* Add SecurityHolding.UnrealizedQuantity property
It gets the holding quantity the security will have once all open orders are filled.
Added for thread safety reasons when execution models place asynchronous orders and need to calculate the actual quantity needed to reach the target of there are open orders
* Some cleanup
* Adjust projected holdings quantity on splits
* Minor fix
* More changes and cleanup
* Minor fix
* Improvements for thread safety
* Add IOrderProvider.GetProjectedHoldings to get projected holdings atomically
* Minor unit tests fix
* Add ProjectedHoldings DTO class
* Address peer review
---------
Co-authored-by: arthiondaena <arthiondaena@gmail.com>
* feat: support snake-case style Python QCAlgorithm implementations
* feat: add unit tests and minor fixes
* feat: implement new BasePythonWrapper class for python wrappers.
Used to cache methods and contains invoke functionality
* feat: make python wrappers implement the new base class for pep8 style support
* feat: keep overriden methods in Algorithm Python Wrapper
* feat: add unit tests for custom models algorithms with PEP8 style
* Bump pythonnet version to 2.0.30
* fix bugs and address peer review
* Address peer review
* Minor revert
* feat: StubsIgnoreAttribute for ignoring members or classes by the stubs generator
* Minor fixes
* Minor fix
* Minor fix
* Bump pythonnet version to 2.0.31
* Added Greeks.Lambda_ alias of Lambda for python compatibility.
Remove unused method
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* Implement Trailing FreePortfolioValue
- Implement Trailing FreePortfolioValue by default, users will be able
to set it to a fixed number if desired. Adding regression algorithm
- Setting the default 'MinimumOrderMarginPortfolioPercentage' from 0 to
0.1% of the TPV to avoud tiny trades by default
* Update existing regression algorithms
* Address reviews
- Send warning message to the user if a trade does not happen due to the
default setting of the minimum order margin percentage value
* Address reivews
* Rename TotalPortfolioValueLessFreeBuffer
* Update new regression algorithm
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* Order handling improvements
- Execution model will only trigger market order if they are above the
minimum order margin portfolio percetage value
- SecurityCache.Reset is complete
* Python Import fixes
- Add regression test for ImmediateExecutionModel minimum order margin
check
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* Python research import improvements
- Improve start.py for research env
- Remove unrequired imports
* Centralize algorithm imports
* Add regression test GH action
* Unit test python import clean up
* Join research and main imports
* More python import clean up
* Fix failing skipped regression algorithm
- Improving OrderSizing.Value and Volume to include code in consumers
- OrderSizing.GetUnorderedQuantity() will adjust result by lot size
- ImmediateExecutionModels will use OrderSizing.GetUnorderedQuantity()
- OrderSizing.Value() will take into account ContractMultiplier
- Adding unit tests
- `TimeSliceFactory` will avoid creating empty collections
- `ExecutionModels` will check target collection count before trying to
enumerate
- Reduce calls to .`TotalPortfolioValue`
- `SecurityValues` will only be created when required
- `TimeKeeper` will use TimeZone unique Id as dictionary key. The
TimeZone hash is expensive.
- `AlgorithmManager` will avoid calling `DateTime.UtcNow`,
`ConvertFromUtc()` and `RoundDownInTimeZone()`
- Using `Aggregate(lambda)` vs `Sum(lambda)` since the later is slower
due to performing an extra `Select`
- For `QCAlgorithm.Framework.OnFrameworkData()` will avoid calling
`ToArray()` on empty `Enumerables` due to its cost * the number of
calls. If the `Enumerable` is the empty instance, which is static,
will create a new empty array and return it instead.
- Replacing `SecurityIdentifier` `SecurityType` and `GetHashCode`
implementations for `Lazy` versions, that are performed just once, since
these values do not change and are used multiple times.
- For the different `DataDictionary<T>` implementations adding `this[
Symbol] get; set` since existing overload `this [string]` produces an
extra round operations `Symbol->string->Symbol` with a significant
impact.
- Adding `PortfolioTargetCollection.AddRange()` overload using an array
to avoid unnecessary convertions.
- Removing `using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm`
- Removing `QCAlgorithmFrameworkBridge`
- Removing `IsFrameworkAlgorithm`
- Making `EmitInsightBasedOnFill` private. Adding new
`IOrderEventProvider` exposing an `event` to which `QCAlgorithm` will
subscribe.
- `AccountType.Cash` algorithms will be allowed to manually trade and
emight insights manually or with alpha model.
JosueNina